"Apprentice and Trainee Outcomes 2021" provides a summary of the outcomes of apprentices and trainees who completed an apprenticeship or traineeship during 2020, with the data collected in mid-2021. The figures are derived from apprentices' and trainees' responses to the National Student Outcomes Survey (SOS), which is an annual survey…

When assessed, treatment fidelity is most often evaluated by checklists of intervention steps after an observation session, though estimates can vary depending on how intervention steps are operationalized and rated. A more straightforward approach may involve the adoption of direct observation methods such as time sampling or event recording,…

Temporality-driven covariate classification had limited impact on: the specification of directed acyclic graphs (DAGs) by 85 novice analysts (medical undergraduates); or the risk of bias in DAG-informed multivariable models designed to generate causal inference from observational data. Only 71 students (83.5%) managed to complete the…

The PPIC Statewide Survey was inaugurated in 1998 to provide a way for Californians to express their views on important public policy issues. The survey provides timely, relevant, nonpartisan information on Californians' political, social, and economic opinions. It seeks to inform and improve state policymaking, raise awareness, and encourage…

This resource provides states with an overview on how to gather representative parent involvement data for State Performance Plan/Annual Performance Report (SPP/APR) Indicator B8. The resource defines key concepts such as representativeness, sampling, nonresponse bias, response rates, and weighting. It also offers information on how to improve the…

In this paper, we explore the challenges inherent in conducting research with a hidden population -- how to conduct research with teachers who have left the classroom. Capturing the storied experiences of this group is vital to understanding how to effectively recruit, prepare, support, and sustain teachers in US classrooms for our next generation…

The finite population correction (FPC) factor is often used to adjust variance estimators for survey data sampled from a finite population without replacement. As a replicated resampling approach, the jackknife approach is usually implemented without the FPC factor incorporated in its variance estimates. A paradigm is proposed to compare the…

Including students with disabilities requires schoolwide interventions that are implemented with fidelity (adherence). Collection of fidelity data may become problematic when multiple evidence-based treatments exist in one setting. To address concerns around efficiency of data collection, this study hypothesized that the three sampling approaches…

In this paper, we address the following questions: What misconceptions do high school students exhibit in their first encounter with significance test problems through a repeated sampling approach? Which theory or framework could explain the presence and features of such patterns? With brief prior instruction on the use of Fathom software to…

Understanding whether or not different types of students master various attributes can aid future learning remediation. In this study, two-level diagnostic classification models (DCMs) were developed to represent the probabilistic relationship between external latent classes and attribute mastery patterns. Furthermore, variational Bayesian (VB)…

This is the first systematic review of the school outcome literature for behavior interventions used with middle school students exhibiting disruptive behaviors. A total of 51 investigations (published between 2000 and 2020) including 6,498 students and 264 implementers were coded on four dimensions (i.e., sample, interventions, methodology, and…

This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…

This article is an overview of the National Assessment of Education Quality (NAEQ) of China in reading, mathematics, sciences, arts, physical education, and moral education at Grades 4 and 8. After a review of the background and history of NAEQ, we present the assessment framework with students' holistic development at the core and the design for…

International large-scale assessments of student achievement such as International Association for the Evaluation of Educational Achievement's Trends in International Mathematics and Science Study (TIMSS) and Progress in International Reading Literacy Study and Organization for Economic Cooperation and Development's Program for International…

Two families of analysis methods can be used for differential item functioning (DIF) analysis. One family is DIF analysis based on observed scores, such as the Mantel-Haenszel (MH) and the standardized proportion-correct metric for DIF procedures; the other is analysis based on latent ability, in which the statistic is a measure of departure from…